Machine Learning Engineer Intern

Vaisala is a global leader in measurement instruments and intelligence helping industries, nations, people, and the planet to thrive. From predicting hurricanes to optimizing renewable energy production, our technology is used where it matters the most – from data centers, windfarms and laboratories to airports, the Arctic and even the surface of Mars. For a second year running, Vaisala got recognized in TIME Magazine's World's Best Companies in Sustainable Growth 2026 study. Our team of close to 2,500 experts and 62 nationalities around the world is committed to taking every measure for the planet. Driven by our shared purpose, curiosity, and pioneering spirit, we stay ahead and make a difference. At Vaisala, you don't have to fit in to belong.

 

 

Why Join Us?

 

We are seeking a Machine Learning Engineer Intern to take our existing RWIS predictive station recovery work from prototype into a robust, operational system. Over an initial 3 to 6 month period, you will harden and extend existing models, integrate them with RWS200 production data, and deliver actionable alerts that reduce unnecessary truck rolls and improve station uptime across 84 PennDOT sites. This will be a full-time role based in our Louisville, Colorado office on a hybrid work schedule.

 

 

What’s My Role?

 

• Own the end‑to‑end lifecycle of ML models for RWIS predictive station recovery, from exploration and feature engineering through deployment and monitoring.
• Engineer robust data pipelines over multi‑year sensor telemetry and CRM case data, with an emphasis on time‑window features and noisy/partial data handling.
• Build, train, and iterate on models for:
  • urgency classification,
  • self‑recovery prediction,
  • failure‑type classification from case text,
  • and sensor‑level degradation/gap detection.
• Translate operational and business costs (truck rolls, downtime, false alarms) into cost‑aware evaluation metrics and decision thresholds.
• Collaborate closely with operations/support teams to align alerts and routing with existing workflows and constraints.Implement production integrations, logging, observability, and model performance monitoring.
• Document architecture, assumptions, and operational procedures to support future scaling and handoff.

 

 

What Will You Bring?

 

• Master's in Computer Science, Data Science or a related quanatitative field.
• Strong background in machine learning, with experience in classification and/or time‑series/event prediction.
• Hands‑on experience with sensor or telemetry data, including sliding‑window feature engineering and noisy data.
• Proficiency in Python and common ML/data tools (e.g., pandas, scikit‑learn; deep learning frameworks a plus).
• Demonstrated experience shipping ML models into production (batch or real‑time), including monitoring and iteration.
• Familiarity with NLP for short text classification (e.g., ticket descriptions, subject lines) or willingness to quickly ramp up.
• Ability to work cross‑functionally with operations, product, and engineering stakeholders.Bachelor’s or Master’s in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience.

 

Preferred Qualifications

 

• Experience with industrial IoT, environmental sensing, or monitoring systems (e.g., weather, energy, industrial equipment).
• Experience with cost‑sensitive learning, imbalanced datasets, and threshold tuning driven by real‑world operational costs.
• Familiarity with MLOps practices and tooling (experiment tracking, CI/CD for ML, model registries).
• Experience with the cloud and data stack similar to Vaisala’s (you can specify AWS/Azure/GCP and any internal technologies here).

 

 

ANTICIPATED HOURLY RANGE: $23-29 hourly (dependent on education level). Please note that applications sent via email cannot be processed due to privacy reasons. We are not able to provide support in relocation or work permit-related matters for this temporary position.

 

Ready to take every measure for the planet? Apply at the latest on May 15th, 2026 via the application form. 

 

Our Vaisala solutions contribute to societies and people’s lives in over 150 countries – and can even be found in space. With our technological innovations for measuring weather, environmental and industrial conditions, we have a key role in solving the grand social and environmental challenges of our time. We offer you a career with a clear purpose and a chance to create observations for a better world.  We take pride in being pioneers who strive to bring about positive changes in both the society and environment, and our work is not done yet. Take advantage of this opportunity and join our team to make a difference!

 

What we offer:

Our benefits package includes: health, dental, and vision insurance, flexible spending accounts, company paid life, long and short term disability, 401(K) plan with company match, a variety of voluntary benefits programs, fitness reimbursement, Employee Assistance Programs, and tuition reimbursement. We also offer holiday pay and a generous paid time off plan.

 

To be considered for this position you must currently be eligible to work in the U.S. Vaisala participates in the E-Verify employment verification system. Candidates are subject to a complete background check prior to an offer being extended.  As a federal contractor, Vaisala reserves the right to enforce government mandated vaccination requirements for its employees.

 

 

EOE Veteran/Disability

Vaisala is proud to be an Equal Opportunity Employer and is committed to providing equal employment opportunity for all persons in all facets of employment.  All qualified applications will receive consideration for employment without regard to any legally protected status.

 

 

Reasonable Accommodation Notice

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. As a government contractor, Vaisala complies with Section 503 of the Rehabilitation Act of 1973 (the Act), which is a law that prohibits federal contractors and subcontractors from discriminating in employment against individuals with disabilities and requires employers take affirmative action to recruit, hire, promote, and retain these individuals.

 

If you require a reasonable accommodation to complete an application for a recognized disability under applicable law, please contact Human Resources by phone at 303-499-1701 or by email at ushr@vaisala.com. Please note that you can easily submit application by attaching your LinkedIn profile in the recruitment tool (LinkedIn Apply functionality).